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Meta University Jobs (NOW HIRING)

... serve as Meta's dedicated, full-time presence in Louisiana-- a locally rooted relationship-builder who can develop meaningful, mutually beneficial partnerships with universities, sports teams ...

... Meta's dedicated, full-time presence in Ohio -- a locally rooted relationship-builder who can develop meaningful, mutually beneficial partnerships with universities, sports teams, creators, local ...

... serve as Meta's dedicated, full-time presence in Indiana -- a locally rooted relationship-builder who can develop meaningful, mutually beneficial partnerships with universities, sports teams ...

... universities, sports teams, creators, local and regional media, and cultural organizations * Design and deliver local programs and initiatives that create shared value for the community and for Meta

... Meta's relationships and positive impact in the communities that host our infrastructure. This 0-to-1 team will focus on cultivating meaningful, mutually beneficial partnerships with universities ...

... Meta's relationships and positive impact in the communities that host our infrastructure. This 0-to-1 team will focus on cultivating meaningful, mutually beneficial partnerships with universities ...

... Meta's relationships and positive impact in the communities that host our infrastructure. This 0-to-1 team will focus on cultivating meaningful, mutually beneficial partnerships with universities ...

Bachelors of Industrial Design from an accredited college or university, or relevant professional ... Meta builds technologies that help people connect, find communities, and grow businesses. When ...

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Meta University information

What types of collaborative projects do interns typically work on during the Meta University program?

During the Meta University internship, participants often collaborate on real-world projects alongside experienced engineers and cross-functional teams. These projects are designed to address current challenges faced by Meta’s products and services, allowing interns to make meaningful contributions while developing their technical and teamwork skills. Interns can expect to regularly participate in code reviews, brainstorming sessions, and presentations, often working closely with mentors and fellow interns. This collaborative environment helps build a strong professional network and provides insights into Meta’s agile development processes.

What is Meta University?

Meta University is a paid summer internship program offered by Meta (formerly Facebook) for undergraduate students interested in pursuing careers in technology. The program is designed to provide students from underrepresented backgrounds with mentorship, technical training, and hands-on experience working on real projects at Meta. It typically lasts for 8-12 weeks and includes opportunities to network with professionals, attend workshops, and build valuable skills that can lead to future employment in the tech industry.

What are the key skills and qualifications needed to thrive as a Meta University intern, and why are they important?

To thrive as a Meta University Intern, you typically need foundational knowledge in computer science, programming, and data structures, supported by progress toward a relevant degree. Familiarity with languages like Python or Java, as well as experience using version control systems such as Git, is commonly expected. Strong problem-solving, collaboration, and communication skills help interns excel in team-based projects and adapt to Meta’s fast-paced environment. These skills and qualities are crucial for making meaningful contributions, learning effectively, and succeeding in a competitive tech internship program.

What is the difference between Meta University vs Data Analyst?

AspectMeta UniversityData Analyst
Required CredentialsTypically a certificate or training program from Meta UniversityBachelor's degree in statistics, computer science, or related field
Work EnvironmentOnline learning platform, self-paced or instructor-led coursesOffice or remote, analyzing data sets and generating reports
Employer & Industry UsageMeta (Facebook) for training and skill developmentVarious industries including tech, finance, marketing
Search & Comparison IntentLearning platform, certification, skill developmentData analysis, job requirements, career path

Meta University offers specialized training and certifications from Meta, focusing on social media and digital skills, often used for skill enhancement. Data Analysts analyze data to inform business decisions across industries. While Meta University provides educational credentials, Data Analysts are professionals applying those skills in real-world settings.

More about Meta University jobs
What cities are hiring for Meta University jobs? Cities with the most Meta University job openings:
What are the most commonly searched types of Meta University jobs? The most popular types of Meta University jobs are:
What states have the most Meta University jobs? States with the most job openings for Meta University jobs include:
Infographic showing various Meta University job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 16% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Postdoctoral Associate in Meta-Research - UEIS

Carnegie Mellon University

Pittsburgh, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

67th of 618 rated colleges and universities


Job description

Are you a recent Ph.D. graduate in a STEM or social science discipline interested in a career path in meta-research, knowledge synthesis, open science and/or improving the quality and rigor of research? Join the team of Evidence Synthesis specialists and the Open Science Program at Carnegie Mellon University Libraries, where we are working to investigate and promote open science principles within evidence synthesis and meta-research methods as well as computational approaches to improving the efficiency, transparency, reproducibility, and accessibility of research across disciplines.
The Postdoctoral Associate in Meta-Research should be technically and computationally skilled, have a strong understanding of academic research and the research ecosystem and be passionate about building an open and collaborative research community. The successful candidate will develop a research and teaching agenda related to meta-research, evidence synthesis, open science, and research improvement using open source tools and technologies. This is a fixed term 2-year position with 50% of time devoted to research and 50% to teaching and community-building activities.
Meta-research is the study of how research is conducted, communicated, evaluated, and synthesized, with the goal of improving the quality, transparency, efficiency, and impact of research. One emerging area within meta-research is open synthesis, which combines open science principles with evidence synthesis methods such as systematic reviews, scoping reviews, and evidence and gap maps. With the exponential growth of scholarly publishing, increasing demand for evidence-informed decision making, and rapid advances in artificial intelligence and large language models, there is a growing need to investigate questions at the intersection of meta-research, open science, and evidence synthesis. This includes research and capacity-building efforts related to:
  • Improving the openness, accessibility, and interoperability of scholarly information and bibliographic metadata;
  • Developing and evaluating open source software, AI tools, and computational workflows that support evidence synthesis and other forms of meta-research;
  • Advancing transparency, reproducibility, and reporting standards for research and evidence synthesis;
  • Developing living evidence syntheses and workflows for keeping research knowledge current using open bibliographic data and automated methods.

Carnegie Mellon University is well-poised to advance meta-research with one of the first library-based Open Science programs, an Open Source Programs Office, one of the leading Computer Science programs in the world, and a unique Evidence Synthesis Program with deep faculty-librarian collaborations across the university. The Postdoctoral Associate in Meta-Research will work across these departments and units to develop a variety of research and training initiatives.
Core responsibilities will include:
Under the supervision of the Director of the Evidence Synthesis Program, the successful candidate will:
  • Conduct collaborative research in meta-research, including topics such as: transparency and reproducibility in evidence synthesis; computational methods for literature discovery, study selection, and data extraction; evaluation of AI and open source tools that support meta-research workflows; living evidence synthesis methods; and/or bibliographic infrastructure;
  • Teach workshops and develop curriculum on topics such as using large language models for evidence synthesis, using open source software to manage and conduct literature review, and/or the ethical and appropriate use of scholarly information in meta-research;
  • Serve on organizing and programming committees of open science and evidence synthesis events hosted by the Libraries, including the annual Open Science Symposium and an inaugural meta-research hackathon to be held in Spring 2027;
  • Assist in the outreach efforts of the Libraries' Evidence Synthesis Program including the support of research tools such as Sysrev and OpenAlex;
  • Contribute to international research communities, such as Metascience, FORCE11, or ESMARConf, with poster presentations or talks on open synthesis and meta-research.

Adaptability, excellence, and passion are vital qualities within the UEIS. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.
You should demonstrate:
  • Strong track record in academic research in a discipline that is well established at CMU (relevant research experience in industry or government also considered);
  • Demonstrated record of teaching excellence in academic settings including hands-on training or training others in computational skills. Interest in refining teaching skills and curriculum development;
  • Experience conducting research on at least one of the following areas: evidence synthesis methods, meta-research, bibliometrics, reproducibility, open science, or scholarly communication;
  • Knowledge of conduct and reporting standards for evidence synthesis (e.g., PRISMA);
  • Understanding of computational reproducibility best practices;
  • Familiarity with machine learning concepts and large language models. Deep expertise is not required, but candidates should be comfortable engaging with these technologies at a foundational level;
  • Knowledge of tools used for reproducible research such as Git/GitHub, Jupyter Notebook, Binder, Docker, Open Science Framework;
  • Strong interpersonal skills with the ability to effectively interact with diverse groups including faculty, students, staff, and administrators;
  • Demonstrated ability to work independently and as part of a team;
  • Excellent organizational, communication, and presentation skills;
  • Dedication to professional development including personal research and scholarship and growth of skills;
  • Interest in contributing to the global open science community.

Qualifications:
  • Ph.D. in a STEM or social science discipline;
  • Strong interest in building an open science community across disciplinary boundaries and advancing the quality and rigor of research and open scholarship;
  • Familiarity with or interest in learning about evidence synthesis and/or bibliometrics methods;
  • Experience with coding and programming in R or Python. Should be proficient enough to work independently with standard packages and troubleshoot basic issues;
  • Enthusiasm for working collaboratively with library personnel on research projects, instructional design, and developing services.

To Apply
A successful candidate would preferably be in place as early as possible. To be considered, please include your CV, a cover letter, and contact information for three references in your application.
We strongly encourage applications from members of groups that have been marginalized and/or underrepresented in academic librarianship and who will contribute to the breadth of our organization.
Deadline: Applications received by August 15 will be given first consideration.
Additional Information:
Sponsorship: Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over the sponsorship of an employment visa for this opportunity. Carnegie Mellon is not a qualifying employer for the STEM OPT benefit: only the 12-month OPT may be used to work at Carnegie Mellon.
Fixed Term: This is a fixed-term position with an estimated duration of two years.
Joining the CMU team opens the door to an array of exceptional benefits.
Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
For a comprehensive overview of the benefits available, explore our Benefits page.
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.
Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
Location
Pittsburgh, PA
Job Function
Pre/Post-Doctoral Associates & Fellows
Position Type
Postdoctoral Associate / Fellow (Fixed Term)
Full Time/Part time
Full time
Pay Basis
Salary
More Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance

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